SOURCE-LINKED INTELLIGENCE
Towards a universal language of concepts: A survey
Humans can learn and generalize novel concepts from sparse data because they express knowledge in rich structural formats. In this paper, we propose that programs are a strong candidate for universal representation of concepts. We review computational models of concept learning that use programs as their concept representation and evaluate their contribution toward a universal representational language.
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T22:37:04.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.